Ductile Damage Model for Predicting Crack Growth in Structural Component Subjected to Large Cyclic Deformation

The purpose of this study is to develop a ductile damage model for predicting ductile crack growth behavior of structural component subjected to large cyclic deformation.Work hardening rule with isotropic hardening stagnation is proposed based on the effective damage concept proposed by the authors.Damage evolution rule with damage acceleration under tensile straining and no damage acceleration under compressive straining just before fracture is also proposed.The ductile damage model for monotonic loading proposed by the authors is extended for cyclic loading by introducing the proposed work hardening rule and the damage evolution rule.The proposed work hardening rule can predict not only Bauschinger effect but also work hardening stagnation and permanent softening behavior with no additional parameters from conventional isotropic / kinematic combined hardening rule.Ductile crack growth predicted by simulation based on the ductile damage model with conventional damage evolution rule is larger than experimental results.On the other hand, simulation based on the ductile damage model with the proposed damage evolution rule can predict ductile crack growth behavior and load carrying capacity under not only constant but also variable strain amplitude.Consequently, the proposed ductile damage model for cyclic loading is found to be able to predict ductile crack growth behavior of structural component subjected to large cyclic deformation.

Authors

Institutions

Publication Details

Journal
QUARTERLY JOURNAL OF THE JAPAN WELDING SOCIETY
Published
2025-01-01
DOI
https://doi.org/10.2207/qjjws.43.301
Primary Topic
Metal Forming Simulation Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ductile Damage Model for Predicting Crack Growth in Structural Component Subjected to Large Cyclic Deformation

Toshihiro UMEDA, Hiroto Shoji, Mitsuru Ohata, Kota NAKAGIKU
QUARTERLY JOURNAL OF THE JAPAN WELDING SOCIETY
Metal Forming Simulation Techniques
article

Ductile Damage Model for Predicting Crack Growth in Structural Component Subjected to Large Cyclic Deformation

Toshihiro UMEDA, Hiroto Shoji, Mitsuru Ohata, Kota NAKAGIKU
article en

Abstract

The purpose of this study is to develop a ductile damage model for predicting ductile crack growth behavior of structural component subjected to large cyclic deformation.Work hardening rule with isotropic hardening stagnation is proposed based on the effective damage concept proposed by the authors.Damage evolution rule with damage acceleration under tensile straining and no damage acceleration under compressive straining just before fracture is also proposed.The ductile damage model for monotonic loading proposed by the authors is extended for cyclic loading by introducing the proposed work hardening rule and the damage evolution rule.The proposed work hardening rule can predict not only Bauschinger effect but also work hardening stagnation and permanent softening behavior with no additional parameters from conventional isotropic / kinematic combined hardening rule.Ductile crack growth predicted by simulation based on the ductile damage model with conventional damage evolution rule is larger than experimental results.On the other hand, simulation based on the ductile damage model with the proposed damage evolution rule can predict ductile crack growth behavior and load carrying capacity under not only constant but also variable strain amplitude.Consequently, the proposed ductile damage model for cyclic loading is found to be able to predict ductile crack growth behavior of structural component subjected to large cyclic deformation.

QUARTERLY JOURNAL OF THE JAPAN WELDING SOCIETYVol. 43(2)
Mitsubishi Heavy Industries (Germany) (DE), Mitsubishi Heavy Industries (Japan) (JP), The University of Osaka (JP)
Climate action
Openalex Percentile: Top 81%
Metal Forming Simulation Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.